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Some simulation results comparing the proposed control architecture with other strategies studied in the literature are included, regarding the energy efficiency achieved in steady state and the dynamic behaviour of the controlled variables, where the controllability issues are highlighted.
The behaviour of the controlled beam is numerically studied which indicates that optimally controlled distributed forces are effective in damping out the dynamic response.
In order to verify the performances of the proposed observers and control algorithms and to test behaviour of the controlled system, numerical and real experiments are achieved.
In this paper, we first analyse experimental data measured on closed-loop braking tests to see which is the behaviour of the controlled aircraft when braking.
In the designed approach, the neural network is used as a non-linear process model to predict the future behaviour of the controlled process with distributed parameters.
For the validation and comparison of the considered controllers, the dynamic response for different setpoint changes and initial conditions is analysed, as well as the behaviour of the controlled system against disturbances.
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They have typical characteristics of hybrid dynamical systems, because the behaviour of the control loop includes state jumps and switches of the dynamics.
The behaviour of the control systems has been tested with simulations based on the model of a pilot plant dryer located in the Control Engineering Laboratory at the University of Oulu.
A steady state analysis is provided to show the power flows that minimise several objective functions and dynamic simulations are performed to illustrate the dynamic behaviour of the control scheme under wind speed changes and communication faults.
The behaviour of the control variant is consistent with this.
Here, it provided the best fit for the behaviour of the control group and at the same time highlighted the differences that occurred in Mecp2 Stop mice.
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Justyna Jupowicz-Kozak
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